Senior Principal/ Principal Scientist, Computational Safety

Boehringer Ingelheim GmbH; Ridgefield (CT); On-site; USD 140,000 - 269,000; Full time

Job summary

Boehringer Ingelheim is seeking a Senior Principal/Principal Scientist in Computational Safety to lead in silico safety assessments across drug discovery. You will develop AI/ML, multi-omics, and AoP-based models, and translate computational insights into actionable strategies for risk-based decisions.

You will collaborate with toxicology, discovery, clinical safety, and IT teams to advance mechanistic safety and improve pipeline outcomes.

Qualifications

• Ph.D. in Computational Toxicology, Computational Biology, Bioinformatics, Molecular Biology, or related field.
• Strong collaboration, scientific leadership, and communication skills.
• Expertise in computational toxicology, AI/ML modeling, and multi-omics (TGx) data integration.
• Experience with in silico safety, liability prediction, and mechanistic modeling.
• Familiar with toxicology data curation, and interpretation, and knowledge of GLP toxicology and regulatory guidance will be a favorable plus

Responsibilities

• Lead and/or generate in silico target safety assessment strategy development.
• Develop and deliver integrated computational safety packages to support program and portfolio decisions.
• Advance AI/ML and multi omics-based models, including foundation models, for safety and liability prediction.
• Drive AI enabled Adverse Outcome Pathway (AoP) development to support mechanistic risk assessment.
• Proactively identify and communicate on target and off target safety risks.
• Collaborate closely with Toxicology, Discovery, Clinical Safety, Bioinformatics, Data Science, and IT teams.
• Serve as a bridge and clearly communicate complex computational insights to multidisciplinary stakeholders.

Skills

Computational toxicology

AI/ML modeling

Multi-omics data integration

Scientific leadership

Communication skills

Education

Ph.D. in Computational Toxicology, Computational Biology, Bioinformatics, Molecular Biology, or related field

Job description

Senior Principal/ Principal Scientist, Computational Safety

Description

We are seeking a Senior Principal/ Principal Scientist, Computational Safety, to provide scientific leadership in in silico safety assessment across drug discovery and development. This role will leverage advanced multi omics data, systems toxicology and AI/ML approaches to proactively identify safety liabilities, support mechanistic understanding, improve quality target identification, and facilitate risk based decision making.
The Senior Principal Scientist/ Principal will play a key role in developing and delivering integrated computational safety strategies, including AI enabled foundation model based on multiple omics data, Adverse Outcome Pathways, off‑target identification, and predictive liability models. Working closely with toxicologists, discovery scientists, clinical safety, bioinformatics, data science, and IT partners, this position will translate complex computational insights into clear, actionable recommendations that improve pipeline quality and reduce late stage attrition.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunities for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

Duties & Responsibilities

• Lead and/or generate in silico target safety assessment strategy development
• Develop and deliver integrated computational safety packages to support program and portfolio decisions
• Advance AI/ML and multi omics-based models, including foundation models, for safety and liability prediction
• Drive AI enabled Adverse Outcome Pathway (AoP) development to support mechanistic risk assessment
• Proactively identify and communicate on target and off target safety risks
• Collaborate closely with Toxicology, Discovery, Clinical Safety, Bioinformatics, Data Science, and IT teams
• Serve as a bridge and clearly communicate complex computational insights to multidisciplinary stakeholders.

Requirements

Principal Scientist Requirements

• 3+ years of post-doctoral and/or industry experience in drug discovery and development and safety risk assessment is a must

Senior Principal Scientist Requirements

• 7+ years of post-doctoral and/or industry experience in drug discovery and development and ≥3 years of experience in safety risk assessment is a must

Requirements for both levels

• Ph.D. in Computational Toxicology, Computational Biology, Bioinformatics, Molecular Biology, or related field
• Strong collaboration, scientific leadership, and communication skills, with the ability to translate complex computational results into actionable insights for stakeholders with diverse backgrounds
• Expertise in computational toxicology, AI/ML modeling, and multi-omics (TGx) data integration
• Experience with in silico safety, liability prediction, and mechanistic modeling
• Familiar with toxicology related data curation, and interpretation, and knowledge of GLP toxicology and regulatory guidance will be a favorable plus

Eligibility Requirements

• Must be legally authorized to work in the United States without restriction.
• Must be willing to take a drug test and post-offer physical (if required)
• Must be 18 years of age or older

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Compensation Data

The base salary range for the Principal Scientist position is $140,000 to $222,000. The base salary range for the Sr. Principal Scientist position is $170,000 to $269,000. The position may be eligible for a role‑specific discretionary bonus, relocation assistance, and/or other compensation elements. We continuously review market data and may adjust salary ranges as needed in the future. Actual compensation will be based on job-related factors such as skills, experience, qualifications, and other factors permitted by law. Benefits include medical, dental, and vision coverage, retirement savings opportunities, paid time off, paid holidays, disability and life insurance benefits, and other company-sponsored benefits. For additional information regarding our benefits and Total Rewards offerings,